Cumpanas Andrei D, Camp Brandon, Tran Candices M, Vu Thao N, Chen Wen-Pin, Vo Kelvin, Bhatt Rohit, Tano Zachary E, Gao Bruce M, Patel Roshan M, Jiang Pengbo, Landman Jaime, Clayman Ralph V
Department of Urology, University of California Irvine, Orange, California, USA.
Chao Family Comprehensive Cancer Center, Orange, California, USA.
J Endourol. 2024 Dec 13. doi: 10.1089/end.2024.0462.
Ureteral wall thickness (UWT) was proposed as a potential predictor for spontaneous stone passage (SSP). In earlier studies, the effect could not be isolated from stone size. Accordingly, we sought to determine whether UWT, alone or combined with stone size, could enhance SSP predictability. In total, 199 patients with acute renal colic and a single ureteral stone visible on noncontrast computerized tomography (NCCT) who opted for SSP were prospectively enrolled. A reviewer, blinded to the enrollee's stone passage status, analyzed NCCTs for both stone metrics (linear measurements, area, volume, density) and ureteral parameters (UWT at the point of greatest soft-tissue thickness, location, hydronephrosis). Logistic regression models were used to evaluate the relationship between these factors and SSP. In a univariate analysis, longer (odds ratio [OR] = 0.285; 95% confidence interval [CI]: 0.375-0.608), wider (OR = 0.477; 95% CI: 0.375-0.608), denser (OR = 0.997; 95% CI: 0.995-0.998) stones with larger surface areas (OR = 0.920; 0.890-0.951), larger volumes (OR = 0.984; 95% CI: 0.977-0.990), and greater depth (OR = 0.538; 95% CI: 0.427-0.676), as well as those surrounded by a thicker UWT (OR = 0.665; 95% CI: 0.504-0.878), were less likely to pass spontaneously. In a multivariate analysis, UWT actually lost its significance. Indeed, in the multivariate analysis, only the largest linear stone measurement retained significance (OR = 0.454; 95% CI: 0.343-0.600). Although significant in a univariate analysis, in a prospective cohort study that adjusted for stone size, UWT lost significance in the multivariate model. SSP of a ureteral calculus was best predicted by its maximum linear measurement.
输尿管壁厚度(UWT)被认为是预测输尿管结石自然排出(SSP)的一个潜在指标。在早期研究中,该指标的影响无法与结石大小区分开来。因此,我们试图确定UWT单独或与结石大小相结合,是否能提高SSP的预测能力。我们前瞻性纳入了199例急性肾绞痛患者,这些患者在非增强计算机断层扫描(NCCT)上可见单个输尿管结石,且选择了自然排石。一名对患者结石排出情况不知情的研究者,分析了NCCT上的结石指标(线性测量、面积、体积、密度)和输尿管参数(软组织厚度最大处的UWT、位置、肾积水)。采用逻辑回归模型评估这些因素与SSP之间的关系。在单因素分析中,更长(比值比[OR]=0.285;95%置信区间[CI]:0.375-0.608)、更宽(OR=0.477;95%CI:0.375-0.608)、密度更大(OR=0.997;95%CI:0.995-0.998)、表面积更大(OR=0.920;0.890-0.951)、体积更大(OR=0.984;95%CI:0.977-0.990)、深度更深(OR=0.538;95%CI:0.427-0.676)的结石,以及被更厚UWT包围的结石(OR=0.665;95%CI:0.504-0.878),自然排出的可能性较小。在多因素分析中,UWT实际上失去了其显著性。事实上,在多因素分析中,只有结石最大线性测量值保留了显著性(OR=0.454;95%CI:0.343-0.600)。尽管在单因素分析中有显著性,但在一项对结石大小进行校正的前瞻性队列研究中,UWT在多因素模型中失去了显著性。输尿管结石的SSP最好通过其最大线性测量值来预测。